/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:425: FitFailedWarning:
1152 fits failed out of a total of 3840.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.
Below are more details about the failures:
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
15 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:32:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:21] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:31] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
12 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
12 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:45] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:48] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
11 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:34:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:43] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:44] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:46] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:47] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:49] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:50] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:51] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:52] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:53] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
11 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:54] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:55] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:56] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:57] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:58] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:58] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:59] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:36:59] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:01] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:01] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:02] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:02] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:03] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:03] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:05] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:05] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:06] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:06] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:07] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:07] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:08] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:08] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:11] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:37:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:00] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:00] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:01] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:01] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:02] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:03] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:03] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:04] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:04] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:05] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:05] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:06] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:06] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:07] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:07] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:09] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:10] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:10] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:12] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:13] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:14] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
9 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:15] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
10 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:16] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:17] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
11 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:18] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:19] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:20] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:22] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:22] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:23] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:24] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:25] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:26] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:27] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:28] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:29] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:30] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:32] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:33] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:34] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
4 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:35] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:36] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
6 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:37] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:38] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f46a078c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f46a09e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f46a09f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f46a09e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f46a09e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f46a09e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f46a09995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f46a077fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f46afdc8a4a]
--------------------------------------------------------------------------------
8 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:39] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f13ccd8c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f13ccfe0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f13ccff3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f13ccfe4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f13ccfe70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f13ccfe91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f13ccf995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f13ccd7fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f13dc38fa4a]
--------------------------------------------------------------------------------
7 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:40] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5e2578c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5e259e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5e259f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5e259e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5e259e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5e259e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5e259995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5e2577fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5e4a548a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f47ad78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f47ad9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f47ad9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f47ad9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f47ad9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f47ad9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f47ad9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f47ad77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f47d1fc0a4a]
--------------------------------------------------------------------------------
5 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5ade78c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5ade9e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5ade9f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5ade9e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5ade9e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5ade9e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5ade9995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5ade77fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5b035c8a4a]
--------------------------------------------------------------------------------
2 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:41] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7fbe1a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7fbe1a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7fbe1a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7fbe1a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7fbe1a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7fbe1a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7fbe1a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7fbe1a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7fbe3c1d3a4a]
--------------------------------------------------------------------------------
3 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c0a58c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c0a7e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c0a7f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c0a7e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c0a7e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c0a7e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c0a7995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c0a57fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c2f341a4a]
--------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 729, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/base.py", line 1152, in wrapper
return fit_method(estimator, *args, **kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/pipeline.py", line 427, in fit
self._final_estimator.fit(Xt, y, **fit_params_last_step)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 1500, in fit
train_dmatrix, evals = _wrap_evaluation_matrices(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 521, in _wrap_evaluation_matrices
train_dmatrix = create_dmatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/sklearn.py", line 958, in _create_dmatrix
return QuantileDMatrix(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 730, in inner_f
return func(**kwargs)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1529, in __init__
self._init(
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 1590, in _init
_check_call(ret)
File "/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/xgboost/core.py", line 282, in _check_call
raise XGBoostError(py_str(_LIB.XGBGetLastError()))
xgboost.core.XGBoostError: [20:39:42] /home/conda/feedstock_root/build_artifacts/xgboost-split_1703076519788/work/src/data/../common/../data/gradient_index.h:94: Check failed: valid: Input data contains `inf` or a value too large, while `missing` is not set to `inf`
Stack trace:
[bt] (0) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x6e) [0x7f5c1e38c2ee]
[bt] (1) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e0e44) [0x7f5c1e5e0e44]
[bt] (2) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(void xgboost::GHistIndexMatrix::PushAdapterBatch<xgboost::data::ArrayAdapterBatch>(xgboost::Context const*, unsigned long, unsigned long, xgboost::data::ArrayAdapterBatch const&, float, xgboost::common::Span<xgboost::FeatureType const, 18446744073709551615ul>, double, unsigned long)+0x705) [0x7f5c1e5f3c05]
[bt] (3) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(+0x3e4d72) [0x7f5c1e5e4d72]
[bt] (4) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::InitFromCPU(xgboost::Context const*, xgboost::BatchParam const&, void*, float, std::shared_ptr<xgboost::DMatrix>)+0x2195) [0x7f5c1e5e70c5]
[bt] (5) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::data::IterativeDMatrix::IterativeDMatrix(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x73b) [0x7f5c1e5e91fb]
[bt] (6) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(xgboost::DMatrix* xgboost::DMatrix::Create<void*, void*, void (void*), int (void*)>(void*, void*, std::shared_ptr<xgboost::DMatrix>, void (*)(void*), int (*)(void*), float, int, int)+0x7e) [0x7f5c1e5995be]
[bt] (7) /home/paulius/miniconda3/envs/rapids_v2/lib/libxgboost.so(XGQuantileDMatrixCreateFromCallback+0x1b7) [0x7f5c1e37fab7]
[bt] (8) /home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/lib-dynload/../../libffi.so.8(+0x6a4a) [0x7f5c43348a4a]
warnings.warn(some_fits_failed_message, FitFailedWarning)
/home/paulius/miniconda3/envs/rapids_v2/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [0.7948594 nan 0.79640277 nan 0.7948594 nan
0.79640277 nan 0.7948594 nan 0.79640277 nan
0.7948594 nan 0.79640277 nan 0.7948594 nan
0.79640277 nan 0.7948594 nan 0.79640277 nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
0.79711895 nan 0.79916439 nan 0.79711895 nan
0.79916439 nan 0.79711895 nan 0.79916439 nan
0.79711895 nan 0.79916439 nan 0.79711895 nan
0.79916439 nan 0.79711895 nan 0.79916439 nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
0.79079026 0.79352211 0.79502467 0.79766647 0.79079026 0.79352211
0.79502467 0.79766647 0.79079026 0.79352211 0.79502467 0.79766647
0.79079026 0.79352211 0.79502467 0.79766647 0.79079026 0.79352211
0.79502467 0.79766647 0.79079026 0.79352211 0.79502467 0.79766647
0.79618244 0.79751016 0.79678718 0.79728568 0.79618244 0.79751016
0.79678718 0.79728568 0.79618244 0.79751016 0.79678718 0.79728568
0.79618244 0.79751016 0.79678718 0.79728568 0.79618244 0.79751016
0.79678718 0.79728568 0.79618244 0.79751016 0.79678718 0.79728568
0.79352184 0.79837361 0.79363448 0.79879215 0.79352184 0.79837361
0.79363448 0.79879215 0.79352184 0.79837361 0.79363448 0.79879215
0.79352184 0.79837361 0.79363448 0.79879215 0.79352184 0.79837361
0.79363448 0.79879215 0.79352184 0.79837361 0.79363448 0.79879215
0.79821443 0.7999285 0.7989189 0.80054885 0.79821443 0.7999285
0.7989189 0.80054885 0.79821443 0.7999285 0.7989189 0.80054885
0.79821443 0.7999285 0.7989189 0.80054885 0.79821443 0.7999285
0.7989189 0.80054885 0.79821443 0.7999285 0.7989189 0.80054885
0.7954834 nan 0.79621718 nan 0.7954834 nan
0.79621718 nan 0.7954834 nan 0.79621718 nan
0.7954834 nan 0.79621718 nan 0.7954834 nan
0.79621718 nan 0.7954834 nan 0.79621718 nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
0.79336295 nan 0.79675884 nan 0.79336295 nan
0.79675884 nan 0.79336295 nan 0.79675884 nan
0.79336295 nan 0.79675884 nan 0.79336295 nan
0.79675884 nan 0.79336295 nan 0.79675884 nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
0.79172662 0.79479832 0.79481912 0.79573678 0.79172662 0.79479832
0.79481912 0.79573678 0.79172662 0.79479832 0.79481912 0.79573678
0.79172662 0.79479832 0.79481912 0.79573678 0.79172662 0.79479832
0.79481912 0.79573678 0.79172662 0.79479832 0.79481912 0.79573678
0.79787685 0.79598071 0.79928972 0.7985434 0.79787685 0.79598071
0.79928972 0.7985434 0.79787685 0.79598071 0.79928972 0.7985434
0.79787685 0.79598071 0.79928972 0.7985434 0.79787685 0.79598071
0.79928972 0.7985434 0.79787685 0.79598071 0.79928972 0.7985434
0.79449801 0.79796484 0.79515623 0.79724413 0.79449801 0.79796484
0.79515623 0.79724413 0.79449801 0.79796484 0.79515623 0.79724413
0.79449801 0.79796484 0.79515623 0.79724413 0.79449801 0.79796484
0.79515623 0.79724413 0.79449801 0.79796484 0.79515623 0.79724413
0.79780831 0.79819541 0.8004567 0.79756526 0.79780831 0.79819541
0.8004567 0.79756526 0.79780831 0.79819541 0.8004567 0.79756526
0.79780831 0.79819541 0.8004567 0.79756526 0.79780831 0.79819541
0.8004567 0.79756526 0.79780831 0.79819541 0.8004567 0.79756526
0.7948594 nan 0.79640277 nan 0.7948594 nan
0.79640277 nan 0.7948594 nan 0.79640277 nan
0.7948594 nan 0.79640277 nan 0.7948594 nan
0.79640277 nan 0.7948594 nan 0.79640277 nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
0.79711895 nan 0.79916439 nan 0.79711895 nan
0.79916439 nan 0.79711895 nan 0.79916439 nan
0.79711895 nan 0.79916439 nan 0.79711895 nan
0.79916439 nan 0.79711895 nan 0.79916439 nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
0.79079026 0.79352211 0.79502467 0.79766647 0.79079026 0.79352211
0.79502467 0.79766647 0.79079026 0.79352211 0.79502467 0.79766647
0.79079026 0.79352211 0.79502467 0.79766647 0.79079026 0.79352211
0.79502467 0.79766647 0.79079026 0.79352211 0.79502467 0.79766647
0.79618244 0.79751016 0.79678718 0.79728568 0.79618244 0.79751016
0.79678718 0.79728568 0.79618244 0.79751016 0.79678718 0.79728568
0.79618244 0.79751016 0.79678718 0.79728568 0.79618244 0.79751016
0.79678718 0.79728568 0.79618244 0.79751016 0.79678718 0.79728568
0.79352184 0.79837361 0.79363448 0.79879215 0.79352184 0.79837361
0.79363448 0.79879215 0.79352184 0.79837361 0.79363448 0.79879215
0.79352184 0.79837361 0.79363448 0.79879215 0.79352184 0.79837361
0.79363448 0.79879215 0.79352184 0.79837361 0.79363448 0.79879215
0.79821443 0.7999285 0.7989189 0.80054885 0.79821443 0.7999285
0.7989189 0.80054885 0.79821443 0.7999285 0.7989189 0.80054885
0.79821443 0.7999285 0.7989189 0.80054885 0.79821443 0.7999285
0.7989189 0.80054885 0.79821443 0.7999285 0.7989189 0.80054885
0.7954834 nan 0.79621718 nan 0.7954834 nan
0.79621718 nan 0.7954834 nan 0.79621718 nan
0.7954834 nan 0.79621718 nan 0.7954834 nan
0.79621718 nan 0.7954834 nan 0.79621718 nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
0.79336295 nan 0.79675884 nan 0.79336295 nan
0.79675884 nan 0.79336295 nan 0.79675884 nan
0.79336295 nan 0.79675884 nan 0.79336295 nan
0.79675884 nan 0.79336295 nan 0.79675884 nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
nan nan nan nan nan nan
0.79172662 0.79479832 0.79481912 0.79573678 0.79172662 0.79479832
0.79481912 0.79573678 0.79172662 0.79479832 0.79481912 0.79573678
0.79172662 0.79479832 0.79481912 0.79573678 0.79172662 0.79479832
0.79481912 0.79573678 0.79172662 0.79479832 0.79481912 0.79573678
0.79787685 0.79598071 0.79928972 0.7985434 0.79787685 0.79598071
0.79928972 0.7985434 0.79787685 0.79598071 0.79928972 0.7985434
0.79787685 0.79598071 0.79928972 0.7985434 0.79787685 0.79598071
0.79928972 0.7985434 0.79787685 0.79598071 0.79928972 0.7985434
0.79449801 0.79796484 0.79515623 0.79724413 0.79449801 0.79796484
0.79515623 0.79724413 0.79449801 0.79796484 0.79515623 0.79724413
0.79449801 0.79796484 0.79515623 0.79724413 0.79449801 0.79796484
0.79515623 0.79724413 0.79449801 0.79796484 0.79515623 0.79724413
0.79780831 0.79819541 0.8004567 0.79756526 0.79780831 0.79819541
0.8004567 0.79756526 0.79780831 0.79819541 0.8004567 0.79756526
0.79780831 0.79819541 0.8004567 0.79756526 0.79780831 0.79819541
0.8004567 0.79756526 0.79780831 0.79819541 0.8004567 0.79756526]
warnings.warn(